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Peer reviewedBrookover, W. B. – American Behavioral Scientist, 1986
Presents observations of a researcher on state of educational research. States that some issues and questions have not changed in 50 years. Cites the arguments over the difference between basic and applied research, and the hereditary basis of intelligence. Concludes with remarks about inappropriate data analysis, the use of technology, and the…
Descriptors: Computers, Educational History, Educational Research, Epistemology
Peer reviewedBiddle, Bruce J.; Marlin, Marjorie M. – Child Development, 1987
Defines structural equation modeling (SEM) and points out its relation to other more familiar data-analytic techniques, as well as some of the potentials and pitfalls of SEM in the analysis of developmental data. Discussion focuses on causal modeling, path diagrams, ordinary least-squares regression analysis, and powerful methods for model…
Descriptors: Criteria, Least Squares Statistics, Path Analysis, Regression (Statistics)
Peer reviewedConnell, James P. – Child Development, 1987
Lists three criteria that can codetermine whether a new methodological technique is embraced by developmental researchers. Criteria include theoretical and methodological zeitgeist, conceptual and functional accessibility, and perspective enhancement. Using these criteria, evaluates the potential impact of structural equation modeling. (Author/RH)
Descriptors: Child Development, Comprehension, Developmental Psychology, Goodness of Fit
Peer reviewedKennedy, Peter – Journal of Economic Education, 1986
Concludes that for most researchers trained in classical statistics, the use of the Bayesian approach requires substantial retooling. Observes that the technical details of the Bayesian approach are formidable, and will require studying textbooks, applications, and computer packages, as well as consulting colleagues. (Author/JDH)
Descriptors: Bayesian Statistics, Data Analysis, Economic Research, Economics Education
Peer reviewedNagel, Stuart S. – Evaluation Review, 1984
Introspective interviewing can often determine the magnitude of relations more meaningfully than statistical analysis. Deduction from empirically validated premises avoids many research design problems. Guesswork can be combined with sensitivity analysis to determine the effects of guesses and missing information on conclusions. (Author/DWH)
Descriptors: Deduction, Evaluation Methods, Intuition, Policy Formation
Peer reviewedHolmes, C. Thomas – Journal of Experimental Education, 1984
Methods for estimating effect sizes when complete data are not reported are presented. When not precise, these methods provide a conservative estimate and, therefore, allow for the inclusion in a meta-analysis of relevant studies whose data might otherwise be discarded. (Author/PN)
Descriptors: Effect Size, Estimation (Mathematics), Measurement Techniques, Meta Analysis
Peer reviewedLuker, William A.; And Others – Journal of Economic Education, 1984
Based on an independent analysis of the data used to evaluate the Developmental Economic Education Program, questions are raised about the methodology and conclusions reached by Walstad and Soper in an article published in the Winter 1982 issue of the Journal. The original study is also defended in two replies. (Author/RM)
Descriptors: Economics Education, Program Evaluation, Research Design, Research Methodology
Peer reviewedAtkinson, Leslie – Journal of Consulting and Clinical Psychology, 1983
Questioned the statistical analyses of the Moleski and Tosi investigation of rational-emotive therapy versus systematic desensitization. Suggested means for lowering the error rate through a more efficient experimental design. Recommended a reanalysis of the original data. (LLL)
Descriptors: Desensitization, Evaluation Methods, Position Papers, Rational Emotive Therapy
Peer reviewedFischer, Joel; And Others – Social Work, 1976
A critical analysis of a research report which appeared in an earlier journal. A rebuttal by the authors of the original article is also included. (HMV)
Descriptors: Case Records, Caseworker Approach, Comparative Analysis, Research Problems
Grundmann, Matthias – 1997
Following the assumptions of ecological socialization research, adequate analysis of socialization conditions must take into account the multilevel and multivariate structure of social factors that impact on human development. This statement implies that complex models of family configurations or of socialization factors are needed to explain the…
Descriptors: Individual Development, Models, Multivariate Analysis, Research Methodology
Peer reviewedArmor, David J. – Public Interest, 1973
David Armor presents further evidence in defense of his findings, against critics. (DM)
Descriptors: Bus Transportation, Educational Research, Research Criteria, Research Methodology
Peer reviewedFields, James M. – Public Opinion Quarterly, 1970
Descriptors: Metropolitan Areas, Neighborhoods, Opinions, Questionnaires
Peer reviewedSchwartz, Steven; Dalgleish, Len – Journal of Research in Personality, 1982
Statistical significance is not a sufficient condition for claiming a hypothesis has been supported. Constructive replications are more important. Statistically significant results may be meaningless while a sequence of nonsignificant results may be quite important. Gives advice on how to overcome some limitations of classifical statistical…
Descriptors: Bayesian Statistics, Data Analysis, Personality Studies, Research Methodology
Peer reviewedManey, A. C.; Kedem, Benjamin – Evaluation Review, 1982
A novel solution to the statistical problems in an evaluation of rare events is described. The significance of variations in the number of child homicides is analyzed in a binary time series of "active" months for monitoring future incidence and related systemic events. (Author/CM)
Descriptors: Child Abuse, Crime, Evaluation Methods, Hypothesis Testing
Peer reviewedLiu, Richard – College Student Journal, 1982
Discusses the problem of dichotomous-dependent variables in regression analysis in student attrition studies. Proposes a new method as an alternative to regression analysis. (Author/RC)
Descriptors: Higher Education, Multivariate Analysis, Regression (Statistics), Research Methodology


